Title
Manipulator trajectory tracking based on adaptive sliding mode control
Abstract
A manipulator is a complex electromechanical system that is nonlinear, strongly coupled, and uncertain. Achieving its precise and high-quality trajectory control is difficult. Sliding mode control (SMC) is one of the common control methods for manipulators. However, discontinuities in SMC can cause jitter and vibration in the manipulator system, leading to a reduction in the performance of the control system. For the self-adaptive capability jitter vibration problem of SMC, the Dobot magician manipulator is treated as the research object in this article. The dynamics equations of the manipulator are established by Lagrange method, and a simplified model of the manipulator dynamics is constructed. The method of self-adaptive sliding mode control is proposed. Self-adaptive parameters are added to the SMC to achieve self-adaptive adjustment of the SMC parameters. In the MATLAB/Simulink simulation environment analysis show that the self-adaptive SMC method has better self-tuning ability and trajectory tracking ability than the traditional SMC, and weakens the jitter phenomenon existing in the traditional SMC.
Year
DOI
Venue
2022
10.1002/cpe.7051
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
Keywords
DocType
Volume
dobot magician manipulator, self-adaptive control, SMC, trajectory tracking
Journal
34
Issue
ISSN
Citations 
21
1532-0626
0
PageRank 
References 
Authors
0.34
0
4
Name
Order
Citations
PageRank
Haoyi Zhao100.34
Bo Tao242.44
Ruyi Ma300.34
Baojia Chen400.34